Instructions to use multimolecule/mtsplice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MultiMolecule
How to use multimolecule/mtsplice with MultiMolecule:
pip install multimolecule
from multimolecule import AutoModel, AutoTokenizer tokenizer = AutoTokenizer.from_pretrained("multimolecule/mtsplice") model = AutoModel.from_pretrained("multimolecule/mtsplice") inputs = tokenizer("UAGCUUAUCAGACUGAUGUUGA", return_tensors="pt") outputs = model(**inputs) embeddings = outputs.last_hidden_state - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b130013081262b073f0bf3307ba1b34d76fe82dd0a488923b41ceba2948cfa5b
- Size of remote file:
- 898 kB
- SHA256:
- 4b266bd0d4b73e87f7b458cdc0eb8fdb82f59a96ace18dec2eda1f46e9df2c85
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.